Project Title:

TinyML Project

Project Collaborators:

Woodside

This project aimed to utilise machine learning to decrease workload of maintenance crew in remote sites.

Approach

Using Machine Learning and edge computing to perform relevant tasks. By using these techniques, the summer interns were able to read analogue gauges, send relevant data to the cloud, and present the data in clearly interpretable format.

Outcome

01

Edge computing is utilised to successfully process data closely to the source, decreasing latency and providing stronger security,


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